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Data Marketplace · Jobs & talent

Indeed Job Listings Dataset

Compare public Indeed listings by role, employer, location, compensation context, description, and posting history.

Request Indeed sampleView fields
  • Records Job listing · Employer · Role
  • Source Indeed
  • Formats JSON · CSV · Parquet
Dataset preview · indeed job listingsReady
Observation 01

An illustrative view of how job listing, employer, role a…

.

Field 01
An illustrative view of how job listing, employer, role a…
{
  "listing_id": "illustrative-indeed-84",
  "title": "Product Analyst",
  "employer": "Example Retail",
  "location": {
    "country": "US",
    "region": "CA"
  },
  "compensation": {
    "min": 90000,
    "max": 115000,
    "period": "year"
  },
  "captured_at": "2026-08-07T…
An illustrative view of how job listing, employer, role and collection context arrive together.

Schema and fields

Build on Indeed records with context attached.

Start with job listing, employer, role. Source identity, collection time, and field meaning stay connected so records can move into analysis without losing their context.

listing_id string

Source listing identity

title string

Displayed role title

employer string

Displayed employer

location object

Displayed job location

compensation object

Displayed pay context where present

description string

Public listing description

listing_url url

Public source URL

captured_at timestamp

Collection time

Freshness and delivery

Keep Indeed data aligned with your analysis cycle.

Define how frequently the selected query and market scope should be re-observed and how listing state changes appear in delivery.

Snapshot Start from a dated baseline Selected scope and collection window

Refresh Receive recurring updates Cadence and change behavior

Format Use JSON, CSV, or Parquet Schema, partitioning, and manifest

Validation Run repeatable checks Counts, fields, missing states, and version

Indeed applications

Put Indeed records to work.

Use source-linked, time-stamped records for role and location demand, plus compensation research. Each application starts from the same documented fields and collection context.

01

Role and location demand

Compare public listing patterns across markets, employers, and job families.

02

Compensation research

Study displayed salary or pay context while preserving currency, period, location, and source.

03

Posting lifecycle analysis

Distinguish first observed, changed, still observed, and no-longer-observed listing states.

From sample to production

Test Indeed Job Listings records in your data stack.

Start with representative rows, run the joins and calculations that matter, and shape delivery around the system that will consume the data.

  1. 01

    Choose the useful scope

    Select the entities, markets, fields, dates, and business output the collection should support.

  2. 02

    Run a sample through your stack

    Check identifiers, fields, joins, missing states, and source context with your own queries or models.

  3. 03

    Set the delivery pattern

    Choose the snapshot or recurring schedule, file format, partitions, manifest, and destination.

Indeed dataset FAQ

Plan the right Indeed Job Listings collection.

What does the Indeed Job Listings Dataset include?

Compare public Indeed listings by role, employer, location, compensation context, description, and posting history. Core records include job listing, employer, role, compensation observation, posting event.

What can I build with Indeed data?

Common applications include role and location demand, compensation research, posting lifecycle analysis. Start with the fields and time window required by the business output.

How can the Indeed dataset stay current?

Define how frequently the selected query and market scope should be re-observed and how listing state changes appear in delivery.

When should I use the Indeed API instead?

Use the on-demand API when your application chooses individual requests and timing. Choose this dataset for a prepared bulk snapshot or recurring file delivery.

Continue the data journey

Connect Indeed data to the wider use case.

Compare the adjacent dataset, open the source API, or continue into the relevant data, industry, and solution pages.

Start with real records

Request an Indeed dataset sample.

Tell us which job listing and employer data you need, plus the markets, fields, dates, and destination. We will map the collection to that requirement.

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